Self-Reported Medical and Nonmedical Cannabis Use: Results from the 2018 Behavioral Risk Factor Surveillance System in 14 States.

As policies legalizing adult cannabis use increase in the United States, understanding and characterizing the proportion of individuals consuming cannabis for medical and nonmedical purposes is important to inform targeted health education efforts. Data came from 7672 adults (> = 18 years) with past month cannabis use who responded to questions about reason for cannabis use on the 2018 Behavioral Risk Factor Surveillance System survey in 14 states. State and aggregated data were analyzed using weighted frequencies for descriptive analyses, and prevalence ratios were computed to identify demographic and substance use characteristics associated with medical only use or use for both medical and nonmedical reasons (vs. nonmedical use). Overall, 28.6% (95% CI: 26.7, 30.4) of adults who use cannabis reported using cannabis medically, 34.2% (95% CI: 32.3, 36.2) nonmedically, and 37.2% (95% CI: 35.2, 39.2) both medically and nonmedically. Characteristics associated with medical only use (compared with nonmedical only use) included being female; aged > 45 years; out of work, a homemaker, or unable to work; having daily or near daily cannabis use; having past month cigarette use; having no past month alcohol use; self-reporting poor health; and ever having been diagnosed with certain chronic diseases. Medical only use of cannabis is the least prevalent reason for use; use for both medical and nonmedical reasons is the most prevalent. Monitoring reasons for cannabis use can aid states in understanding differences between medical and nonmedical cannabis users, providing context to use patterns, and targeting health education messages to appropriate audiences.

Home cannabis cultivation in the United States and differences by state-level policy, 2019-2020.

Background: As of 2022, all but two U.S. states with adult-use cannabis laws also allow home cultivation. Home cultivation has the potential to support or oppose public health measures, and research in U.S. states is nascent.Objectives: 1) estimate the percentage of respondents who reported growing cannabis plants; 2) estimate the average number of plants grown; 3) examine the association between home cultivation, jurisdiction, and individual-level factors; and 4) examine the association between home cultivation and state-level policies in adult-use states.Methods: Repeat cross-sectional survey data come from U.S. respondents aged 21-65 in 2019 and 2020. Respondents were recruited through online commercial panels. Home cultivation rates were estimated among all U.S. respondents (n = 51,503; 46-52% male). Additional analyses were conducted on a sub-sample of respondents in states that allowed adult-use home cultivation (n = 29,100; 50% male).Results: A total of 6.8% and 7.3% of U.S. respondents reported home cultivation in 2019 and 2020, respectively. Respondents in states that allowed adult-use home cultivation had higher odds of reporting home cultivation than respondents in states without medical or adult-use cannabis laws (AOR = 1.48, 95% 1.26, 1.75). Among respondents in states that allowed adult-use home cultivation, the median number of plants that respondents reported growing was below state cultivation limits.Conclusion: Home cultivation rates in the U.S. were higher in states that allowed adult-use home cultivation; however, other evidence suggests these same states had higher rates predating adult-use legalization. Further work is needed to examine how home cultivation relates to public health measures in adult-use states.

Marijuana Use and Adherence to Smoking Cessation Treatment Among Callers to Tobacco Quitlines.

INTRODUCTION: Tobacco kills over half a million adults annually in the United States. Most smokers want to quit, and over 400,000 call state-funded quitlines for help each year. Marijuana use among tobacco users is common and may impede quitting, but co-use rates among quitline callers are unknown. The purpose of our observational study was to describe marijuana use among quitline callers in states with legalized marijuana. METHODS: Participants were 1,059 smokers aged 21 or older from Oregon, Alaska, and Washington, DC, who called quitlines from September through December 2016. Data on quitline callers' demographics, tobacco and marijuana use, and quitline use were collected. We used χ2 and regression analyses to compare marijuana users with nonusers on demographic characteristics and quitline use. RESULT: Among quitline callers in our study, 24% reported using marijuana in the past 30 days: 28.9% in Alaska, 16.7% in Washington, DC, and 25.0% in Oregon (P = .009). Current users, compared with non-users (n = 772), were less likely to be women (48.4% vs 62.0%, respectively, P < .001). Current marijuana users were less likely to be given nicotine replacement therapy (68.4%) than current nonusers (74.1%) (P < .001), but more likely to complete 3 or more counseling calls (P = .005). Of those who used marijuana in the past 30 days, 62.3% used marijuana on 1 to 19 days, 9.0% used on 20 to 29 days, and 28.7% on all 30 days. Among current marijuana users, the percentage who wanted to quit or reduce marijuana use (42.6%) was higher in Alaska (54.6%) and the District of Columbia (56.8%) than in Oregon (37.9%), P = .03. CONCLUSION: One in 4 quitline callers reported past 30-day marijuana use. Given that nearly half (43%) wanted to reduce marijuana use, addressing co-use may be an important addition to quitline treatment. Future studies should assess co-use effects on tobacco cessation outcomes and explore combined treatment or bidirectional referrals between quitlines and marijuana treatment providers.

State-Specific Prevalence of Quit Attempts Among Adult Cigarette Smokers - United States, 2011-2017.

From 1965 to 2017, the prevalence of cigarette smoking among U.S. adults aged ≥18 years decreased from 42.4% to 14.0%, in part because of increases in smoking cessation (1,2). Increasing smoking cessation can reduce smoking-related disease, death, and health care expenditures (3). Increases in cessation are driven in large part by increases in quit attempts (4). Healthy People 2020 objective 4.1 calls for increasing the proportion of U.S. adult cigarette smokers who made a past-year quit attempt to ≥80% (5). To assess state-specific trends in the prevalence of past-year quit attempts among adult cigarette smokers, CDC analyzed data from the 2011-2017 Behavioral Risk Factor Surveillance System (BRFSS) surveys for all 50 states, the District of Columbia (DC), Guam, and Puerto Rico. During 2011-2017, quit attempt prevalence increased in four states (Kansas, Louisiana, Virginia, and West Virginia), declined in two states (New York and Tennessee), and did not significantly change in the remaining 44 states, DC, and two territories. In 2017, the prevalence of past-year quit attempts ranged from 58.6% in Wisconsin to 72.3% in Guam, with a median of 65.4%. In 2017, older smokers were less likely than younger smokers to make a quit attempt in most states. Implementation of comprehensive state tobacco control programs and evidence-based tobacco control interventions, including barrier-free access to cessation treatments, can increase the number of smokers who make quit attempts and succeed in quitting (2,3).

Use and reasons for use of electronic vapour products shaped like USB flash drives among a national sample of adults.

OBJECTIVES: Assess use and reasons for use of electronic vapour products (EVPs) shaped like universal serial bus (USB) flash drives among adults in the USA. METHODS: Data came from SummerStyles, an internet survey of US adults aged ≥18 (N=4088) fielded in June to July 2018. Respondents were shown product images and asked about ever use, current (past 30 days) use and reasons for use. Weighted point estimates and adjusted ORs were assessed. RESULTS: In 2018, 7.9% of participants had ever used flash drive-shaped EVPs, including 25.7% of current cigarette smokers and 45.9% of current EVP users. Moreover, 2.0% reported current use, including 6.8% of cigarette smokers and 34.3% of EVP users. Leading reasons for ever use were 'to deliver nicotine' (30.7%) and 'friend or family member used them' (30.2%). CONCLUSIONS: About one in 13 US adults have ever used flash drive-shaped EVPs, with use being highest among current EVP users. Nicotine content and friend/family use are drivers of ever use. PUBLIC HEALTH IMPLICATIONS: Understanding use of emerging EVP types can inform strategies to maximise any potential benefits for adult cessation and minimise risks of youth initiation.

Trends in and Characteristics of Marijuana and Menthol Cigarette Use Among Current Cigarette Smokers, 2005-2014.

Background: Given increasing co-marijuana and tobacco use in the United States, this study aimed to explore the overlap between menthol cigarette use (MCU) and marijuana. Methods: Data came from past month US cigarette smokers 12 years and older responding to the National Survey on Drug Use and Health between 2005 and 2014 (N = 51 500). Prevalence, demographics and substance use characteristics from 2013 to 2014 were assessed across four groups, based on past month marijuana and tobacco use: cigarette smokers with marijuana and MCU, with marijuana but no MCU, with no marijuana but MCU, and with use of neither. Multivariable logistic regression explored the relationship between MCU, marijuana, and dependence. Linear and quadratic trends were assessed using logistic regression with orthogonal polynomials. Results: Past month marijuana/MCU among cigarette smokers was 8.3% in 2013-2014. Overall, marijuana/MCU was significantly higher among blacks versus whites (20.8% vs. 5.8%, p < .0001), though among 12-25 year olds, prevalence was significantly higher among whites versus blacks (6.3% vs. 0.9% for 12-17-year-olds; 39.2% vs. 26.8% for 18-25-year-olds). Marijuana/MCU increased significantly between 2005 and 2014 overall, and among whites and blacks. No adjusted associations were found between marijuana, MCU and nicotine or marijuana dependence. Conclusions: Past month marijuana/MCU among cigarette smokers is increasing in the United States, with specific racial and age-based disparities. Research about the implications of consuming both marijuana and menthol, and the potential overlap in consumption of flavors across the products is warranted to better inform future preventive and treatment approaches. Implications: This is the first study to assess the overlap between MCU and marijuana use among a nationally representative sample of US current smokers ages 12 and older. Findings from this study suggest that past month marijuana and menthol use among cigarette smokers is increasing in the United States, with specific racial/ethnic and age-based disparities. More research about the implications of consuming both marijuana and menthol, and the potential overlap in consumption of flavors in marijuana and tobacco products is warranted to better understand what preventive and treatment approaches may be needed.

Reasons for Marijuana and Tobacco Co-use Among Young Adults: A Mixed Methods Scale Development Study.

BACKGROUND: Marijuana-tobacco co-use has increased recently, particularly in young adults. OBJECTIVES: We conducted a mixed-methods study to: (1) examine reasons for co-use; and (2) develop a scale assessing reasons for co-use among participants in a longitudinal cohort study of 3,418 students aged 18-25 from 7 Georgia colleges and universities. METHODS: Phone-based semi-structured interviews were conducted in Summer 2015 among 46 current (past 30-day, n = 26) or lifetime (n = 20) marijuana users. Subsequently, scale items were developed and included at Wave 3. Participants reporting past 4-month tobacco and marijuana use (n = 328) completed the Reasons for Marijuana-Tobacco Co-use section. RESULTS: Per qualitative data, reasons for marijuana-tobacco co-use included synergistic effects, one triggering or preceding the other's use, using one to reduce the other's use, co-administration, social context, and experimentation. The survey subsample included 37.1% who used cigarettes, 30.4% LCCs, 9.4% smokeless, 23.7% e-cigarettes, and 30.4% hookah. Four subscale factors emerged: (1) Instrumentality, indicating synergistic effects; (2) Displacement, indicating using one product to reduce/quit the other; (3) Social context, indicating use in different settings/social situations; and (4) Experimentation, indicating experimentation with both but no specific reasons for co-use. These subscales demonstrated distinct associations with tobacco type used; nicotine dependence; marijuana and alcohol use frequency; tobacco and marijuana use motives, respectively; perceptions of tobacco and marijuana; and parental and friend use. Including these subscales in regressions predicting nicotine dependence and days of marijuana use significantly contributed to each model. CONCLUSIONS: These findings might inform theoretical frameworks upon which marijuana-tobacco co-use occurs and direct future intervention studies.

The development and pilot testing of the marijuana retail surveillance tool (MRST): assessing marketing and point-of-sale practices among recreational marijuana retailers.

As recreational marijuana expands, it is critical to develop standardized surveillance measures to study the retail environment. To this end, our research team developed and piloted a tool assessing recreational marijuana retailers in a convenience sample of 20 Denver retailers in 2016. The tool assesses: (i) compliance and security (e.g. age-of-sale signage, ID checks, security cameras); (ii) marketing (i.e. promotions, product availability and price) and (iii) contextual and neighborhood features (i.e. retailer type, facilities nearby). Most shops (90.0%) indicated the minimum age requirement, all verified age. All shops posted interior ads (M = 2.6/retailer, SD = 3.4), primarily to promote edibles and other non-smoked products. Price promotions were common in shops (73.7%), 57.9% used social media promotions and 31.6% had take-away materials (e.g. menus, party promotions). Nearly half of the shops (42.1%) advertised health claims. All shops offered bud, joints, honey oil, tinctures, kief, beverages, edibles and topicals; fewer sold clones and seeds. Six shops (31.6%) sold shop-branded apparel and/or paraphernalia. Prices for bud varied within and between stores ($20-$45/'eighth', ∼3.5 g). Twelve were recreational only, and eight were both recreational and medicinal. Liquor stores were commonly proximal. Reliability assessments with larger, representative samples are needed to create a standardized marijuana retail surveillance tool.

National Trends in Frequency and Amount of Nondaily Smoking, and Relation to Quit Attempts, 2000-2012.

INTRODUCTION: To understand changes occurring in nondaily smoking, we assessed differences in demographics and trends in nondaily smoking, by smoking frequency and amount. METHODS: Participants were 13 966 adult nondaily cigarette smokers (NDS) age 18 years and older responding to the 2000-2012 US National Health Interview Survey, an annual, nationally-representative, cross-sectional, household interview survey. We created a nine-level smoking frequency-amount variable using tertile cut points from the number of days smoked in the past 30 (1-7, 8-14, 15-29 days) and number of cigarettes smoked per day (cpd; 1-2, 3-5, ≥6). We computed weighted frequencies by low-, moderate-, high-frequency use, by low-, moderate-, high-cpd amount, and by demographics. We estimated temporal trends using weighted least squares regression, and the association between groups and past-year quit attempts using logistic regression. RESULTS: Overall prevalence of nondaily smoking among adults remained stable between 2000 to 2012 (P = .62). The most prevalent nondaily smoking frequency-amount groups were: smoking 15-29 days (in the past 30), 3-5 cpd (20.2%); 1-7 days, 1-2 cpd (19.7%); 15-29 days, 1-2 cpd (14.9%); and 15-29 days, ≥6 cpd (12.1%). From 2000 to 2012, low-cpd NDS (1-2 cpd) across moderate (8-14 days) and high (15-29 days) frequency groups increased (P < .01), while moderate frequency-moderate cpd (8-14 days, 3-5 cpd; P < .05) and high frequency-high cpd (15-29 days, ≥6 cpd; P < .01) NDS declined. Adjusting for demographics and year, the lowest frequency-amount groups had the lowest odds of past-year quit attempts. CONCLUSION: Changes occurred in NDS frequency and amount from 2000 to 2012, suggesting that more granular classifications may be important for monitoring NDS patterns. IMPLICATIONS: From 2000 to 2012, low-cpd NDS (1-2 cpd) across moderate- (8-14 days) and high-frequency (15-29 days) groups increased in the United States, while moderate frequency-moderate cpd (8-14 days, 3-5 cpd) and high frequency-high cpd (15-29 days, ≥6 cpd) NDS declined. Demographic differences were found across NDS frequency-amount groups. Adjusting for demographics and year, the lowest frequency-amount groups had the lowest odds of past-year quit attempts. These data can be used to further understand evolving patterns of NDS behavior, and to provide possible targeted groups-both by demographics and smoking frequency/amount-for future research and intervention.

Past Year Quit Attempts and Use of Cessation Resources Among Cigarette-Only Smokers and Cigarette Smokers Who Use Other Tobacco Products.

INTRODUCTION: It is unclear how use of other tobacco products impacts cigarette-smoking cessation. We assessed differences in past year cigarette smoking quit attempts and use of counseling and medication among current cigarette-only users, cigarette and cigar users, and cigarette and smokeless tobacco (SLT) users. METHODS: Data came from 24 448 current cigarette-only, 1064 cigarette and cigar only, and 508 cigarette and SLT only users who responded to the 2010-2011 Tobacco Use Supplement to the Current Population Survey. Demographic, smoking, and cessation characteristics were computed by group. Bivariate and multivariable logistic regression models assessed the relationship of tobacco use group to making a past year quit attempt, and use of counseling or medication during the last quit attempt. RESULTS: Dual users of cigarettes and cigars or SLT had similar interest in quitting and prevalence of reported past year quit attempts compared to cigarette-only users. In unadjusted analyses, cigarette and SLT users had higher odds of trying to quit in the past year compared to cigarette-only users (odds ratio [OR] = 1.31, 95% confidence interval [CI] = 1.05, 1.64); no differences were found for cigarette and cigar users. However, adjusting for demographic and cigarette smoking variables, both groups of dual users had similar odds as cigarette-only users for having made a past year cigarette smoking quit attempt, and to have used counseling or medication during the last quit attempt. CONCLUSION: Dual tobacco use was not associated with decreased attempts to quit smoking cigarettes; however, use of evidence-based treatment was sub-optimal among cigarette-only and dual users, and should be increased.

Differences in Tobacco Product Use Among Past Month Adult Marijuana Users and Nonusers: Findings From the 2003-2012 National Survey on Drug Use and Health.

INTRODUCTION: This study assessed differences in individual tobacco product use between past month marijuana users and nonusers, and trends in overall tobacco use and use of specific tobacco products among marijuana users. METHODS: Data were obtained from 378 459 adults participating in the 2003-2012 National Survey on Drug Use and Health, a cross-sectional, household interview survey conducted annually. Data from the most recent 2 years (2011-2012) were used to assess differences in the prevalence of various tobacco products by past month marijuana status. Data from all years were used to assess historical trends in overall tobacco use, and use of cigarettes, cigars, and blunts among marijuana users; trend significance was assessed using orthogonal polynomials. RESULTS: From 2011-2012, the prevalence of any past month tobacco use among the 9727 past month marijuana users was 68.6% excluding blunts, and 78.3% including blunts (vs. 25.3% for nonusers, P < .0001); 77.3% of past month marijuana users reported past month combusted tobacco use (vs. 23.4% of non-MJ users, P < .0001). By product, 60.1% of past month marijuana users reported past month cigarette use, 42.0% reported past month blunt use, and 20.6% reported past month cigar use. Overall, adjusted trends in past month cigarette use decreased, while trends in past month blunt use increased; cigar use did not change. DISCUSSION: Tobacco use is highly prevalent among adult marijuana users and represents an important potential comorbidity of marijuana use. In light of increasing policies legalizing marijuana, it is critical to monitor changes in overall and specific tobacco product use.

How Tobacco Quitline Callers in 38 US States Reported Hearing About Quitline Services, 2010-2013.

INTRODUCTION: Telephone-based tobacco quitlines are an evidence-based intervention, but little is known about how callers hear about quitlines and whether variations exist by demographics or state. This study assessed trends in "how-heard-abouts" (HHAs) in 38 states. METHODS: Data came from the Centers for Disease Control and Prevention's (CDC's) National Quitline Data Warehouse, which stores nonidentifiable data collected from individual callers at quitline registration and reported quarterly by states. Callers were asked how they heard about the quitline; responses were grouped into the following categories: media, health professional, family or friends, and "other." We examined trends from 2010 through 2013 (N = 1,564,437) using multivariable models that controlled for seasonality and the impact of CDC's national tobacco education campaign, Tips From Former Smokers (Tips). Using data from 2013 only, we assessed HHAs variation by demographics (sex, age, race/ethnicity, education) and state in a 38-state sample (n = 378,935 callers). RESULTS: From 2010 through 2013, the proportion of HHAs through media increased; however, this increase was not significant when we controlled for calendar quarters in which Tips aired. The proportion of HHAs through health professionals increased, whereas those through family or friends decreased. In 2013, HHAs occurred as follows: media, 45.1%; health professionals, 27.5%, family or friends, 17.0%, and other, 10.4%. Media was the predominant HHA among quitline callers of all demographic groups, followed by health professionals (except among people aged 18-24 years). Large variations in source of HHAs were observed by state. CONCLUSION: Most quitline callers in the 38-state sample heard about quitlines through the media or health care professionals. Variations in source of HHAs exist across states; implementation of best-practice quitline promotional strategies is critical to maximize reach.

Modes of ever marijuana use among adult tobacco users and non-tobacco users-Styles 2014.

BACKGROUND: Tobacco and marijuana use are related behaviors; therefore, it is important to identify how users consume marijuana, and how it varies with tobacco use status. We estimated the modes of ever marijuana use among current, former, and never adult tobacco users. METHODS: Weighted data were analyzed for 4181 adults from 2014 Styles, an online consumer panel survey of US adults, to estimate proportions for modes of ever marijuana use. Differences in modes of ever marijuana use between categories of tobacco use status were assessed (p-value <0.05). RESULTS: More than half of current (56.6%) and former tobacco users (50.9%) had ever used marijuana, whereas only 13.0% of never tobacco users had ever used marijuana. Among ever marijuana users, joint use was the most common mode of use among current (86.4%), former (92.5%), and never (79.8%) tobacco users. Similarly, other modes of marijuana use were significantly higher in current and former tobacco users compared to never tobacco users. CONCLUSIONS: Prevalence of all modes of ever marijuana use was higher in current and former tobacco users. These findings underscore the importance of considering the relationship between marijuana and tobacco use when developing programs and policies aimed at preventing and reducing marijuana use.

Prevalence and correlates of switching to another tobacco product to quit smoking cigarettes.

INTRODUCTION: Using nationally representative data, we assessed the prevalence and correlates of cigarette smokers who tried switching to smokeless tobacco (SLT) or to other combusted tobacco (OCT) products to quit. METHODS: Data came from 12,400 current or former adult smokers who made a quit attempt in the past year and responded to the 2010-2011 Tobacco Use Supplement to the Current Population Survey. Demographics and smoking characteristics were computed among those switching to SLT, switching to OCT, or trying to quit without using either strategy. Bivariate and multinomial logistic regression models identified correlates of using each strategy. RESULTS: Overall, 3.1% of smokers tried switching to SLT to quit, 2.2% tried switching to OCT, and 0.6% tried both strategies. Compared to those not using either switching strategy to try to quit, males were more likely than females to try switching to SLT or OCT; Blacks were less likely than Whites to try switching to SLT, but more likely to try switching to OCT; younger age groups were more likely to try switching to SLT or OCT; current someday smokers were more likely to have try switching to SLT (vs. everyday smokers), while recent former smokers were more likely to have tried switching to OCT. Both switching groups were more likely to have used cessation medication versus those not using switching strategies. CONCLUSION: Data suggest that switching to other tobacco products is a prevalent cessation approach; messages are needed to help clinicians encourage smokers who try to quit by switching to use evidence-based cessation approaches.

Gradual reduction of cigarette consumption as a cessation strategy: prevalence, correlates, and relationship with quitting.

INTRODUCTION: Gradually reducing cigarette consumption is an approach used to quit smoking, but has not been widely studied at a population level. The purpose of this study was to assess the prevalence and demographic characteristics of U.S. adult smokers who tried to reduce to quit, and the relationship between reducing and successful quitting. METHODS: Data came from 12,571 adults in the 2010-2011 Tobacco Use Supplement to the Current Population Survey who tried to quit smoking in the past year. Frequencies and percentages were used to assess prevalence of reducing to quit; bivariate and multiple logistic regression models were used to assess correlates of reducing to quit and successful past year cessation. Analyses were conducted in SAS-callable SUDAAN. RESULTS: Among adults who tried to quit smoking in the past year, 43.0% (n = 5,444) tried reducing to quit. Compared to those who tried to quit without reducing consumption, those reducing to quit had a significantly higher prevalence of using counseling or medication (40.2% vs. 25.0%). In adjusted multivariable models, females (vs. males), Blacks (vs. Whites), current some day smokers (vs. every day smokers), and those who used counseling or medication had greater odds of trying to reduce to quit. Reducing to quit was negatively associated with successful past-year quitting (AOR = 0.59, 95% CI = 0.48, 0.72). CONCLUSION: Reducing to quit is a common cessation strategy and, in these analyses, was associated with lower cessation success rates. More research on reducing to quit in a real-world setting is needed before widely recommending it as a cessation strategy.

Allowing cigarette or marijuana smoking in the home and car: prevalence and correlates in a young adult sample.

Given the increased marijuana use, negative health consequences of marijuana secondhand smoke exposure (SHSe) and dearth of research regarding marijuana SHSe in personal settings, we examined the prevalence and correlates of allowing marijuana versus cigarette smoking in personal settings among 2002 online survey respondents at two southeastern US universities in 2013. Findings indicated that 14.5% allowed cigarettes in the home, 17.0% marijuana in the home, 35.9% cigarettes in cars and 27.3% marijuana in cars. Allowing cigarettes in the home was associated with younger age, racial/ethnic minority status, living off campus, personal marijuana use, parental tobacco use and positive perceptions of cigarettes (P < 0.05). Correlates of allowing marijuana in the home included older age, not having children, living off campus, positive perceptions of marijuana and personal, parental and friend marijuana use (P < 0.05). Correlates of allowing cigarettes in cars included personal cigarette and marijuana use, parental tobacco and marijuana use, more cigarette-smoking friends and positive perceptions of cigarettes (P < 0.05). Correlates of allowing marijuana in cars included being non-Hispanic black; positive perceptions of marijuana; and personal, parental and friend marijuana use (P < 0.05). Interventions must target distinct factors influencing policies regarding cigarette versus marijuana use in personal settings to address the consequences of marijuana and cigarette SHSe.

Perceived harm, addictiveness, and social acceptability of tobacco products and marijuana among young adults: marijuana, hookah, and electronic cigarettes win.

BACKGROUND: There has been an increase in non-daily smoking, alternative tobacco product and marijuana use among young adults in recent years. OBJECTIVES: This study examined perceptions of health risks, addictiveness, and social acceptability of cigarettes, cigar products, smokeless tobacco, hookah, electronic cigarettes, and marijuana among young adults and correlates of such perceptions. METHODS: In Spring 2013, 10,000 students at two universities in the Southeastern United States were recruited to complete an online survey (2,002 respondents), assessing personal, parental, and peer use of each product; and perceptions of health risks, addictiveness, and social acceptability of each of these products. RESULTS: Marijuana was the most commonly used product in the past month (19.2%), with hookah being the second most commonly used (16.4%). The least commonly used were smokeless tobacco products (2.6%) and electronic cigarettes (4.5%). There were high rates of concurrent product use, particularly among electronic cigarette users. The most positively perceived was marijuana, with hookah and electronic cigarettes being second. While tobacco use and related social factors, related positively, influenced perceptions of marijuana, marijuana use and related social factors were not associated with perceptions of any tobacco product. Conclusions/Importance: Marketing efforts to promote electronic cigarettes and hookah to be safe and socially acceptable seem to be effective, while policy changes seem to be altering perceptions of marijuana and related social norms. Research is needed to document the health risks and addictive nature of emerging tobacco products and marijuana and evaluate efforts to communicate such risks to youth.

Differences in smoking and cessation characteristics among adult nondaily smokers in the United States: findings from the 2009-2010 National Adult Tobacco Survey.

INTRODUCTION: Nondaily smoking in the United States is increasing. Although differences in smoking and cessation behaviors between daily and nondaily smokers have been documented, differences among nondaily smokers are poorly understood. This study provides updated national data on smoking and cessation characteristics among nondaily versus daily smokers and between subgroups of nondaily smokers. METHODS: Data were obtained from the 2009-2010 National Adult Tobacco Survey, a stratified, dual-frame telephone survey conducted in the United States. Participants were categorized into daily smokers, never-daily nondaily smokers (NDNS), recently converted (≤1 year) nondaily smokers (RCNS), and established-converted (>1 year) nondaily smokers (ECNS). Chi-square tests were used to assess differences across groups, and multivariable logistic regression was used to identify factors associated with past-year quit attempts. RESULTS: Among nondaily smokers (17.8% of the total sample), 27.1% were NDNS, 37.4% were RCNS, and 35.4% were ECNS. RCNS were the most likely to report ever having tried to quit (p < .0001), having tried to quit in the past year (p < .0001), having used cessation treatment during their last quit attempt (p < .05), and wanting to quit smoking for good (p < .001). Compared with NDNS, RCNS had more than twice the odds of trying to quit in the past year after adjusting for demographics and smoking characteristics (adjusted odds ratio = 2.1, 95% confidence interval = 1.3-3.2). No significant differences existed between NDNS and ECNS. CONCLUSIONS: RCNS are potentially more interested in quitting and should be specifically targeted with cessation interventions to avoid relapse to daily or long-term nondaily smoking.

Prevalence and correlates of quitline awareness and utilization in the United States: an update from the 2009-2010 National Adult Tobacco Survey.

INTRODUCTION: Tobacco quitlines are evidence-based cessation resources that have been underutilized. The purpose of this study is to provide population-level data about quitline awareness and utilization in the United States and to assess correlates of awareness and utilization. METHODS: Data were from the 2009-2010 National Adult Tobacco Survey. Descriptive statistics were produced for national- and state-level quitline awareness and for national quitline utilization. Bivariate and multivariable logistic regressions were used to identify correlates of quitline awareness and utilization. RESULTS: Quitline awareness among the total sample was 33.9% (current smokers 53.9%, former smokers 34.0%, never-smokers 27.0%). Awareness varied by state (range: 35.8%-84.6% for current smokers). Among current smokers who tried to quit in the past year, correlates of lower awareness included being Black, non-Hispanic, and making <$50,000 annually; correlates of higher awareness included having seen a health professional, higher state tobacco program expenditures, and being female. Among smokers who made at least one quit attempt in the previous year and were aware of the quitline, quitline utilization was 7.8%. Higher state tobacco program expenditure, health professional advice, and being Black, non-Hispanic were correlated with higher utilization; older age was correlated with lower utilization. Awareness was significantly associated with use at the state level (r = .98, p < .01). CONCLUSION: Although the majority of smokers in the United States are aware of quitlines, only a small percentage of those trying to quit utilize them. State tobacco program expenditures and receipt of advice from a health professional were associated with both higher quitline awareness and higher utilization.

Smoking prevalence and cessation characteristics among U.S. adults with and without COPD: findings from the 2011 Behavioral Risk Factor Surveillance System.

INTRODUCTION: Cigarette smoking is a major cause of chronic obstructive pulmonary disease, (COPD) but many persons with COPD continue to smoke. Quitting can help prevent the development of and complications from COPD. This study examined whether smoking and cessation behaviors differed among adults with a) COPD, b) asthma, c) other chronic conditions only, or d) no chronic conditions. METHODS: Smoking and chronic disease status was obtained from 488,909 adults aged > 18 years using the Behavioral Risk Factor Surveillance System; 9,476 current smokers and recent quitters in 5 states responded to additional questions about cessation. We computed age-adjusted prevalence of smoking and past-year quit attempts, and used bivariate and multivariable logistic regression to identify correlates of past-year quit attempts. RESULTS: Similar to the overall sample, in the 5-state sample, 47.3% of adults with COPD were current smokers versus 23.1% of those with asthma, 28.8% of adults with other chronic conditions, and 20.0% of those with no chronic conditions. Those with COPD did not differ significantly from those with asthma, other chronic diseases, or no chronic disease in having made a past-year quit attempt (59.7% versus 64.0%, 61.5%, and 53.9%, respectively). Smokers with COPD were significantly more likely than those with no chronic disease to have used cessation treatment resources, including a quitline, counseling, or medication (p < 0.001). CONCLUSIONS: Adults with COPD were just as likely as those without COPD to make a past-year quit attempt; however, approximately 40% of smokers with COPD did not try to quit.